Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

There is a severe class imbalance problem in defect datasets, with nondefective data
dominating the distribution, making it easy to generate inaccurate software defect prediction …

With the rapid development of technology, software projects are becoming increasingly
complex, but the problem of defects is still not well solved, and the application of defective …

To improve the early detection of Chronic Kidney Disease (CKD) utilizing electrocardiogram
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …

Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

The increasing complexity of software projects makes it difficult to predict risks in software
requirements, which is a crucial and essential part of the Software Development Life Cycle …

The hazardous COVID-19 pandemic has caused millions of deaths worldwide which depicts
the significance of an early screening of this infection in order to stop it from spreading. Real …

Software defect prediction is crucial used for detecting possible defects in software before
they manifest. While machine learning models have become more prevalent in software …

In the field of Software Engineering, defect prediction is the most comprehensive and active
area of study. It determines which modules are prone to errors and requires rigorous testing …